Overview

Brought to you by YData

Dataset statistics

Number of variables	21
Number of observations	1200000
Missing cells	1203748
Missing cells (%)	4.8%
Duplicate rows	0
Duplicate rows (%)	0.0%
Total size in memory	897.8 MiB
Average record size in memory	784.5 B

Variable types

Numeric	9
Categorical	10
DateTime	1
Boolean	1

Alerts

`Age` has 18705 (1.6%) missing values	Missing
`Annual Income` has 44949 (3.7%) missing values	Missing
`Marital Status` has 18529 (1.5%) missing values	Missing
`Number of Dependents` has 109672 (9.1%) missing values	Missing
`Occupation` has 358075 (29.8%) missing values	Missing
`Health Score` has 74076 (6.2%) missing values	Missing
`Previous Claims` has 364029 (30.3%) missing values	Missing
`Credit Score` has 137882 (11.5%) missing values	Missing
`Customer Feedback` has 77824 (6.5%) missing values	Missing
`id` is uniformly distributed	Uniform
`id` has unique values	Unique
`Previous Claims` has 305433 (25.5%) zeros	Zeros
`Vehicle Age` has 61615 (5.1%) zeros	Zeros

Reproduction

Analysis started	2025-01-02 21:35:09.626001
Analysis finished	2025-01-02 21:37:07.184084
Duration	1 minute and 57.56 seconds
Software version	ydata-profiling vv4.12.0
Download configuration	config.json

id
Real number (ℝ)

Uniform Unique

Distinct	1200000
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	599999.5

Minimum	0
Maximum	1199999
Zeros	1
Zeros (%)	< 0.1%
Negative	0
Negative (%)	0.0%
Memory size	9.2 MiB

Quantile statistics

Minimum	0
5-th percentile	59999.95
Q1	299999.75
median	599999.5
Q3	899999.25
95-th percentile	1139999.1
Maximum	1199999
Range	1199999
Interquartile range (IQR)	599999.5

Descriptive statistics

Standard deviation	346410.31
Coefficient of variation (CV)	0.57735099
Kurtosis	-1.2
Mean	599999.5
Median Absolute Deviation (MAD)	300000
Skewness	3.8362792 × 10^-16
Sum	7.199994 × 10¹¹
Variance	1.200001 × 10¹¹
Monotonicity	Strictly increasing

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
1199983	1	< 0.1%
1199982	1	< 0.1%
1199981	1	< 0.1%
1199980	1	< 0.1%
1199979	1	< 0.1%
1199978	1	< 0.1%
1199977	1	< 0.1%
1199976	1	< 0.1%
1199975	1	< 0.1%
1199974	1	< 0.1%
Other values (1199990)	1199990	> 99.9%

Value	Count	Frequency (%)
0	1	< 0.1%
1	1	< 0.1%
2	1	< 0.1%
3	1	< 0.1%
4	1	< 0.1%
5	1	< 0.1%
6	1	< 0.1%
7	1	< 0.1%
8	1	< 0.1%
9	1	< 0.1%

Value	Count	Frequency (%)
1199999	1	< 0.1%
1199998	1	< 0.1%
1199997	1	< 0.1%
1199996	1	< 0.1%
1199995	1	< 0.1%
1199994	1	< 0.1%
1199993	1	< 0.1%
1199992	1	< 0.1%
1199991	1	< 0.1%
1199990	1	< 0.1%

Age
Real number (ℝ)

Missing

Distinct	47
Distinct (%)	< 0.1%
Missing	18705
Missing (%)	1.6%
Infinite	0
Infinite (%)	0.0%
Mean	41.145563

Minimum	18
Maximum	64
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	9.2 MiB

Quantile statistics

Minimum	18
5-th percentile	20
Q1	30
median	41
Q3	53
95-th percentile	62
Maximum	64
Range	46
Interquartile range (IQR)	23

Descriptive statistics

Standard deviation	13.53995
Coefficient of variation (CV)	0.32907436
Kurtosis	-1.194939
Mean	41.145563
Median Absolute Deviation (MAD)	12
Skewness	-0.012531918
Sum	48605048
Variance	183.33024
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=47)

Value	Count	Frequency (%)
53	26354	2.2%
61	26218	2.2%
39	26042	2.2%
64	25990	2.2%
57	25971	2.2%
43	25966	2.2%
62	25849	2.2%
46	25756	2.1%
33	25728	2.1%
47	25709	2.1%
Other values (37)	921712	76.8%

Value	Count	Frequency (%)
18	24488	2.0%
19	24641	2.1%
20	25055	2.1%
21	24987	2.1%
22	25309	2.1%
23	23225	1.9%
24	24690	2.1%
25	24221	2.0%
26	24805	2.1%
27	24212	2.0%

Value	Count	Frequency (%)
64	25990	2.2%
63	24283	2.0%
62	25849	2.2%
61	26218	2.2%
60	24593	2.0%
59	25173	2.1%
58	25544	2.1%
57	25971	2.2%
56	25450	2.1%
55	25132	2.1%

Gender
Categorical

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	70.9 MiB

Male	602571
Female	597429

Length

Max length	6
Median length	4
Mean length	4.995715
Min length	4

Characters and Unicode

Total characters	5994858
Distinct characters	6
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Female
2nd row	Female
3rd row	Male
4th row	Male
5th row	Male

Common Values

Value	Count	Frequency (%)
Male	602571	50.2%
Female	597429	49.8%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
male	602571	50.2%
female	597429	49.8%

Most occurring characters

Value	Count	Frequency (%)
e	1797429	30.0%
a	1200000	20.0%
l	1200000	20.0%
M	602571	10.1%
F	597429	10.0%
m	597429	10.0%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	5994858	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
e	1797429	30.0%
a	1200000	20.0%
l	1200000	20.0%
M	602571	10.1%
F	597429	10.0%
m	597429	10.0%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	5994858	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
e	1797429	30.0%
a	1200000	20.0%
l	1200000	20.0%
M	602571	10.1%
F	597429	10.0%
m	597429	10.0%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	5994858	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
e	1797429	30.0%
a	1200000	20.0%
l	1200000	20.0%
M	602571	10.1%
F	597429	10.0%
m	597429	10.0%

Annual Income
Real number (ℝ)

Missing

Distinct	88593
Distinct (%)	7.7%
Missing	44949
Missing (%)	3.7%
Infinite	0
Infinite (%)	0.0%
Mean	32745.218

Minimum	1
Maximum	149997
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	9.2 MiB

Quantile statistics

Minimum	1
5-th percentile	1206
Q1	8001
median	23911
Q3	44634
95-th percentile	104539
Maximum	149997
Range	149996
Interquartile range (IQR)	36633

Descriptive statistics

Standard deviation	32179.506
Coefficient of variation (CV)	0.98272384
Kurtosis	1.7949702
Mean	32745.218
Median Absolute Deviation (MAD)	17171
Skewness	1.4703575
Sum	3.7822397 × 10¹⁰
Variance	1.0355206 × 10⁹
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
7073	1039	0.1%
16054	1019	0.1%
14094	916	0.1%
24897	914	0.1%
15983	888	0.1%
7991	877	0.1%
13982	872	0.1%
16076	852	0.1%
17091	762	0.1%
16891	759	0.1%
Other values (88583)	1146153	95.5%
(Missing)	44949	3.7%

Value	Count	Frequency (%)
1	1	< 0.1%
2	7	< 0.1%
3	4	< 0.1%
5	4	< 0.1%
7	1	< 0.1%
8	3	< 0.1%
10	1	< 0.1%
11	8	< 0.1%
13	2	< 0.1%
14	2	< 0.1%

Value	Count	Frequency (%)
149997	2	< 0.1%
149996	17	< 0.1%
149995	5	< 0.1%
149994	1	< 0.1%
149993	5	< 0.1%
149992	7	< 0.1%
149991	3	< 0.1%
149990	6	< 0.1%
149989	3	< 0.1%
149987	4	< 0.1%

Marital Status
Categorical

Missing

Distinct	3
Distinct (%)	< 0.1%
Missing	18529
Missing (%)	1.5%
Memory size	73.1 MiB

Single	395391
Married	394316
Divorced	391764

Length

Max length	8
Median length	7
Mean length	6.9969301
Min length	6

Characters and Unicode

Total characters	8266670
Distinct characters	14
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Married
2nd row	Divorced
3rd row	Divorced
4th row	Married
5th row	Single

Common Values

Value	Count	Frequency (%)
Single	395391	32.9%
Married	394316	32.9%
Divorced	391764	32.6%
(Missing)	18529	1.5%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
single	395391	33.5%
married	394316	33.4%
divorced	391764	33.2%

Most occurring characters

Value	Count	Frequency (%)
i	1181471	14.3%
e	1181471	14.3%
r	1180396	14.3%
d	786080	9.5%
S	395391	4.8%
n	395391	4.8%
l	395391	4.8%
g	395391	4.8%
a	394316	4.8%
M	394316	4.8%
Other values (4)	1567056	19.0%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	8266670	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
i	1181471	14.3%
e	1181471	14.3%
r	1180396	14.3%
d	786080	9.5%
S	395391	4.8%
n	395391	4.8%
l	395391	4.8%
g	395391	4.8%
a	394316	4.8%
M	394316	4.8%
Other values (4)	1567056	19.0%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	8266670	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
i	1181471	14.3%
e	1181471	14.3%
r	1180396	14.3%
d	786080	9.5%
S	395391	4.8%
n	395391	4.8%
l	395391	4.8%
g	395391	4.8%
a	394316	4.8%
M	394316	4.8%
Other values (4)	1567056	19.0%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	8266670	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
i	1181471	14.3%
e	1181471	14.3%
r	1180396	14.3%
d	786080	9.5%
S	395391	4.8%
n	395391	4.8%
l	395391	4.8%
g	395391	4.8%
a	394316	4.8%
M	394316	4.8%
Other values (4)	1567056	19.0%

Number of Dependents
Categorical

Missing

Distinct	5
Distinct (%)	< 0.1%
Missing	109672
Missing (%)	9.1%
Memory size	68.2 MiB

3.0	221475
4.0	220340
0.0	218124
2.0	215313
1.0	215076

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	3270984
Distinct characters	6
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	1.0
2nd row	3.0
3rd row	3.0
4th row	2.0
5th row	1.0

Common Values

Value	Count	Frequency (%)
3.0	221475	18.5%
4.0	220340	18.4%
0.0	218124	18.2%
2.0	215313	17.9%
1.0	215076	17.9%
(Missing)	109672	9.1%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
3.0	221475	20.3%
4.0	220340	20.2%
0.0	218124	20.0%
2.0	215313	19.7%
1.0	215076	19.7%

Most occurring characters

Value	Count	Frequency (%)
0	1308452	40.0%
.	1090328	33.3%
3	221475	6.8%
4	220340	6.7%
2	215313	6.6%
1	215076	6.6%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	3270984	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
0	1308452	40.0%
.	1090328	33.3%
3	221475	6.8%
4	220340	6.7%
2	215313	6.6%
1	215076	6.6%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	3270984	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
0	1308452	40.0%
.	1090328	33.3%
3	221475	6.8%
4	220340	6.7%
2	215313	6.6%
1	215076	6.6%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	3270984	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
0	1308452	40.0%
.	1090328	33.3%
3	221475	6.8%
4	220340	6.7%
2	215313	6.6%
1	215076	6.6%

Education Level
Categorical

Distinct	4
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	74.3 MiB

Master's	303818
PhD	303507
Bachelor's	303234
High School	289441

Length

Max length	11
Median length	10
Mean length	7.96438
Min length	3

Characters and Unicode

Total characters	9557256
Distinct characters	19
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Bachelor's
2nd row	Master's
3rd row	High School
4th row	Bachelor's
5th row	Bachelor's

Common Values

Value	Count	Frequency (%)
Master's	303818	25.3%
PhD	303507	25.3%
Bachelor's	303234	25.3%
High School	289441	24.1%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
master's	303818	20.4%
phd	303507	20.4%
bachelor's	303234	20.4%
high	289441	19.4%
school	289441	19.4%

Most occurring characters

Value	Count	Frequency (%)
h	1185623	12.4%
s	910870	9.5%
o	882116	9.2%
r	607052	6.4%
a	607052	6.4%
'	607052	6.4%
e	607052	6.4%
l	592675	6.2%
c	592675	6.2%
M	303818	3.2%
Other values (9)	2661271	27.8%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	9557256	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
h	1185623	12.4%
s	910870	9.5%
o	882116	9.2%
r	607052	6.4%
a	607052	6.4%
'	607052	6.4%
e	607052	6.4%
l	592675	6.2%
c	592675	6.2%
M	303818	3.2%
Other values (9)	2661271	27.8%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	9557256	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
h	1185623	12.4%
s	910870	9.5%
o	882116	9.2%
r	607052	6.4%
a	607052	6.4%
'	607052	6.4%
e	607052	6.4%
l	592675	6.2%
c	592675	6.2%
M	303818	3.2%
Other values (9)	2661271	27.8%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	9557256	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
h	1185623	12.4%
s	910870	9.5%
o	882116	9.2%
r	607052	6.4%
a	607052	6.4%
'	607052	6.4%
e	607052	6.4%
l	592675	6.2%
c	592675	6.2%
M	303818	3.2%
Other values (9)	2661271	27.8%

Occupation
Categorical

Missing

Distinct	3
Distinct (%)	< 0.1%
Missing	358075
Missing (%)	29.8%
Memory size	73.2 MiB

Employed	282750
Self-Employed	282645
Unemployed	276530

Length

Max length	13
Median length	10
Mean length	10.335463
Min length	8

Characters and Unicode

Total characters	8701685
Distinct characters	13
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Self-Employed
2nd row	Self-Employed
3rd row	Self-Employed
4th row	Employed
5th row	Employed

Common Values

Value	Count	Frequency (%)
Employed	282750	23.6%
Self-Employed	282645	23.6%
Unemployed	276530	23.0%
(Missing)	358075	29.8%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
employed	282750	33.6%
self-employed	282645	33.6%
unemployed	276530	32.8%

Most occurring characters

Value	Count	Frequency (%)
e	1401100	16.1%
l	1124570	12.9%
p	841925	9.7%
o	841925	9.7%
m	841925	9.7%
d	841925	9.7%
y	841925	9.7%
E	565395	6.5%
S	282645	3.2%
f	282645	3.2%
Other values (3)	835705	9.6%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	8701685	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
e	1401100	16.1%
l	1124570	12.9%
p	841925	9.7%
o	841925	9.7%
m	841925	9.7%
d	841925	9.7%
y	841925	9.7%
E	565395	6.5%
S	282645	3.2%
f	282645	3.2%
Other values (3)	835705	9.6%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	8701685	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
e	1401100	16.1%
l	1124570	12.9%
p	841925	9.7%
o	841925	9.7%
m	841925	9.7%
d	841925	9.7%
y	841925	9.7%
E	565395	6.5%
S	282645	3.2%
f	282645	3.2%
Other values (3)	835705	9.6%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	8701685	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
e	1401100	16.1%
l	1124570	12.9%
p	841925	9.7%
o	841925	9.7%
m	841925	9.7%
d	841925	9.7%
y	841925	9.7%
E	565395	6.5%
S	282645	3.2%
f	282645	3.2%
Other values (3)	835705	9.6%

Health Score
Real number (ℝ)

Missing

Distinct	532657
Distinct (%)	47.3%
Missing	74076
Missing (%)	6.2%
Infinite	0
Infinite (%)	0.0%
Mean	25.613908

Minimum	2.0122372
Maximum	58.975914
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	9.2 MiB

Quantile statistics

Minimum	2.0122372
5-th percentile	7.2858011
Q1	15.918959
median	24.578648
Q3	34.527209
95-th percentile	47.613406
Maximum	58.975914
Range	56.963677
Interquartile range (IQR)	18.608251

Descriptive statistics

Standard deviation	12.203462
Coefficient of variation (CV)	0.4764389
Kurtosis	-0.78499969
Mean	25.613908
Median Absolute Deviation (MAD)	9.2376174
Skewness	0.28218731
Sum	28839313
Variance	148.92448
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
19.92724142	128	< 0.1%
25.90765016	124	< 0.1%
19.8697009	119	< 0.1%
22.95540237	104	< 0.1%
27.8450064	103	< 0.1%
27.9294023	101	< 0.1%
20.9777037	95	< 0.1%
20.63784183	94	< 0.1%
10.9581528	93	< 0.1%
23.95570971	91	< 0.1%
Other values (532647)	1124872	93.7%
(Missing)	74076	6.2%

Value	Count	Frequency (%)
2.012237182	1	< 0.1%
2.024415229	1	< 0.1%
2.039338266	1	< 0.1%
2.053457869	1	< 0.1%
2.056558808	1	< 0.1%
2.060175622	1	< 0.1%
2.060433713	1	< 0.1%
2.064241318	1	< 0.1%
2.065447149	1	< 0.1%
2.068843225	1	< 0.1%

Value	Count	Frequency (%)
58.97591405	1	< 0.1%
58.88603451	1	< 0.1%
58.5696892	1	< 0.1%
58.4524782	1	< 0.1%
58.40100949	1	< 0.1%
57.98884782	1	< 0.1%
57.92381001	1	< 0.1%
57.90318089	1	< 0.1%
57.85252539	1	< 0.1%
57.82680301	1	< 0.1%

Location
Categorical

Distinct	3
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	72.1 MiB

Suburban	401542
Rural	400947
Urban	397511

Length

Max length	8
Median length	5
Mean length	6.003855
Min length	5

Characters and Unicode

Total characters	7204626
Distinct characters	9
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Urban
2nd row	Rural
3rd row	Suburban
4th row	Rural
5th row	Rural

Common Values

Value	Count	Frequency (%)
Suburban	401542	33.5%
Rural	400947	33.4%
Urban	397511	33.1%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
suburban	401542	33.5%
rural	400947	33.4%
urban	397511	33.1%

Most occurring characters

Value	Count	Frequency (%)
u	1204031	16.7%
b	1200595	16.7%
r	1200000	16.7%
a	1200000	16.7%
n	799053	11.1%
S	401542	5.6%
R	400947	5.6%
l	400947	5.6%
U	397511	5.5%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	7204626	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
u	1204031	16.7%
b	1200595	16.7%
r	1200000	16.7%
a	1200000	16.7%
n	799053	11.1%
S	401542	5.6%
R	400947	5.6%
l	400947	5.6%
U	397511	5.5%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	7204626	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
u	1204031	16.7%
b	1200595	16.7%
r	1200000	16.7%
a	1200000	16.7%
n	799053	11.1%
S	401542	5.6%
R	400947	5.6%
l	400947	5.6%
U	397511	5.5%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	7204626	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
u	1204031	16.7%
b	1200595	16.7%
r	1200000	16.7%
a	1200000	16.7%
n	799053	11.1%
S	401542	5.6%
R	400947	5.6%
l	400947	5.6%
U	397511	5.5%

Policy Type
Categorical

Distinct	3
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	74.8 MiB

Premium	401846
Comprehensive	399600
Basic	398554

Length

Max length	13
Median length	7
Mean length	8.3337433
Min length	5

Characters and Unicode

Total characters	10000492
Distinct characters	16
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Premium
2nd row	Comprehensive
3rd row	Premium
4th row	Basic
5th row	Premium

Common Values

Value	Count	Frequency (%)
Premium	401846	33.5%
Comprehensive	399600	33.3%
Basic	398554	33.2%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
premium	401846	33.5%
comprehensive	399600	33.3%
basic	398554	33.2%

Most occurring characters

Value	Count	Frequency (%)
e	1600646	16.0%
m	1203292	12.0%
i	1200000	12.0%
r	801446	8.0%
s	798154	8.0%
P	401846	4.0%
u	401846	4.0%
C	399600	4.0%
o	399600	4.0%
p	399600	4.0%
Other values (6)	2394462	23.9%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	10000492	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
e	1600646	16.0%
m	1203292	12.0%
i	1200000	12.0%
r	801446	8.0%
s	798154	8.0%
P	401846	4.0%
u	401846	4.0%
C	399600	4.0%
o	399600	4.0%
p	399600	4.0%
Other values (6)	2394462	23.9%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	10000492	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
e	1600646	16.0%
m	1203292	12.0%
i	1200000	12.0%
r	801446	8.0%
s	798154	8.0%
P	401846	4.0%
u	401846	4.0%
C	399600	4.0%
o	399600	4.0%
p	399600	4.0%
Other values (6)	2394462	23.9%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	10000492	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
e	1600646	16.0%
m	1203292	12.0%
i	1200000	12.0%
r	801446	8.0%
s	798154	8.0%
P	401846	4.0%
u	401846	4.0%
C	399600	4.0%
o	399600	4.0%
p	399600	4.0%
Other values (6)	2394462	23.9%

Previous Claims
Real number (ℝ)

Missing Zeros

Distinct	10
Distinct (%)	< 0.1%
Missing	364029
Missing (%)	30.3%
Infinite	0
Infinite (%)	0.0%
Mean	1.0026891

Minimum	0
Maximum	9
Zeros	305433
Zeros (%)	25.5%
Negative	0
Negative (%)	0.0%
Memory size	9.2 MiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	1
Q3	2
95-th percentile	3
Maximum	9
Range	9
Interquartile range (IQR)	2

Descriptive statistics

Standard deviation	0.98284017
Coefficient of variation (CV)	0.98020431
Kurtosis	0.74009082
Mean	1.0026891
Median Absolute Deviation (MAD)	1
Skewness	0.90532101
Sum	838219
Variance	0.9659748
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=10)

Value	Count	Frequency (%)
0	305433	25.5%
1	300811	25.1%
2	167661	14.0%
3	49011	4.1%
4	10668	0.9%
5	2018	0.2%
6	302	< 0.1%
7	58	< 0.1%
8	8	< 0.1%
9	1	< 0.1%
(Missing)	364029	30.3%

Value	Count	Frequency (%)
0	305433	25.5%
1	300811	25.1%
2	167661	14.0%
3	49011	4.1%
4	10668	0.9%
5	2018	0.2%
6	302	< 0.1%
7	58	< 0.1%
8	8	< 0.1%
9	1	< 0.1%

Value	Count	Frequency (%)
9	1	< 0.1%
8	8	< 0.1%
7	58	< 0.1%
6	302	< 0.1%
5	2018	0.2%
4	10668	0.9%
3	49011	4.1%
2	167661	14.0%
1	300811	25.1%
0	305433	25.5%

Vehicle Age
Real number (ℝ)

Zeros

Distinct	20
Distinct (%)	< 0.1%
Missing	6
Missing (%)	< 0.1%
Infinite	0
Infinite (%)	0.0%
Mean	9.5698887

Minimum	0
Maximum	19
Zeros	61615
Zeros (%)	5.1%
Negative	0
Negative (%)	0.0%
Memory size	9.2 MiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	5
median	10
Q3	15
95-th percentile	19
Maximum	19
Range	19
Interquartile range (IQR)	10

Descriptive statistics

Standard deviation	5.7761887
Coefficient of variation (CV)	0.60357951
Kurtosis	-1.2064477
Mean	9.5698887
Median Absolute Deviation (MAD)	5
Skewness	-0.020408882
Sum	11483809
Variance	33.364356
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=20)

Value	Count	Frequency (%)
17	62577	5.2%
0	61615	5.1%
11	61483	5.1%
18	61399	5.1%
10	61351	5.1%
15	60817	5.1%
14	60815	5.1%
12	60718	5.1%
19	60495	5.0%
16	60314	5.0%
Other values (10)	588410	49.0%

Value	Count	Frequency (%)
0	61615	5.1%
1	57365	4.8%
2	59741	5.0%
3	59058	4.9%
4	58148	4.8%
5	59499	5.0%
6	58084	4.8%
7	59700	5.0%
8	58298	4.9%
9	59833	5.0%

Value	Count	Frequency (%)
19	60495	5.0%
18	61399	5.1%
17	62577	5.2%
16	60314	5.0%
15	60817	5.1%
14	60815	5.1%
13	58684	4.9%
12	60718	5.1%
11	61483	5.1%
10	61351	5.1%

Credit Score
Real number (ℝ)

Missing

Distinct	550
Distinct (%)	0.1%
Missing	137882
Missing (%)	11.5%
Infinite	0
Infinite (%)	0.0%
Mean	592.92435

Minimum	300
Maximum	849
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	9.2 MiB

Quantile statistics

Minimum	300
5-th percentile	341
Q1	468
median	595
Q3	721
95-th percentile	822
Maximum	849
Range	549
Interquartile range (IQR)	253

Descriptive statistics

Standard deviation	149.98195
Coefficient of variation (CV)	0.25295292
Kurtosis	-1.0901024
Mean	592.92435
Median Absolute Deviation (MAD)	127
Skewness	-0.11357262
Sum	6.2975562 × 10⁸
Variance	22494.584
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
434	4288	0.4%
431	4277	0.4%
757	4021	0.3%
713	3977	0.3%
437	3887	0.3%
584	3800	0.3%
613	3758	0.3%
447	3742	0.3%
658	3730	0.3%
607	3721	0.3%
Other values (540)	1022917	85.2%
(Missing)	137882	11.5%

Value	Count	Frequency (%)
300	856	0.1%
301	1575	0.1%
302	1187	0.1%
303	1061	0.1%
304	841	0.1%
305	699	0.1%
306	875	0.1%
307	1298	0.1%
308	1811	0.2%
309	1332	0.1%

Value	Count	Frequency (%)
849	1796	0.1%
848	2227	0.2%
847	2040	0.2%
846	1843	0.2%
845	1671	0.1%
844	1957	0.2%
843	2052	0.2%
842	1886	0.2%
841	1860	0.2%
840	760	0.1%

Insurance Duration
Real number (ℝ)

Distinct	9
Distinct (%)	< 0.1%
Missing	1
Missing (%)	< 0.1%
Infinite	0
Infinite (%)	0.0%
Mean	5.0182192

Minimum	1
Maximum	9
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	9.2 MiB

Quantile statistics

Minimum	1
5-th percentile	1
Q1	3
median	5
Q3	7
95-th percentile	9
Maximum	9
Range	8
Interquartile range (IQR)	4

Descriptive statistics

Standard deviation	2.5943313
Coefficient of variation (CV)	0.51698247
Kurtosis	-1.2372517
Mean	5.0182192
Median Absolute Deviation (MAD)	2
Skewness	-0.0087933023
Sum	6021858
Variance	6.7305551
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=9)

Value	Count	Frequency (%)
9	137781	11.5%
1	135072	11.3%
8	133800	11.2%
7	133592	11.1%
5	132253	11.0%
4	132182	11.0%
6	132141	11.0%
3	132018	11.0%
2	131160	10.9%
(Missing)	1	< 0.1%

Value	Count	Frequency (%)
1	135072	11.3%
2	131160	10.9%
3	132018	11.0%
4	132182	11.0%
5	132253	11.0%
6	132141	11.0%
7	133592	11.1%
8	133800	11.2%
9	137781	11.5%

Value	Count	Frequency (%)
9	137781	11.5%
8	133800	11.2%
7	133592	11.1%
6	132141	11.0%
5	132253	11.0%
4	132182	11.0%
3	132018	11.0%
2	131160	10.9%
1	135072	11.3%

Policy Start Date
Date

Distinct	167381
Distinct (%)	13.9%
Missing	0
Missing (%)	0.0%
Memory size	9.2 MiB

Minimum	2019-08-17 15:21:39.080371
Maximum	2024-08-15 15:21:39.287115

Histogram with fixed size bins (bins=50)

Customer Feedback
Categorical

Missing

Distinct	3
Distinct (%)	< 0.1%
Missing	77824
Missing (%)	6.5%
Memory size	70.5 MiB

Average	377905
Poor	375518
Good	368753

Length

Max length	7
Median length	4
Mean length	5.0102827
Min length	4

Characters and Unicode

Total characters	5622419
Distinct characters	10
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Poor
2nd row	Average
3rd row	Good
4th row	Poor
5th row	Poor

Common Values

Value	Count	Frequency (%)
Average	377905	31.5%
Poor	375518	31.3%
Good	368753	30.7%
(Missing)	77824	6.5%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
average	377905	33.7%
poor	375518	33.5%
good	368753	32.9%

Most occurring characters

Value	Count	Frequency (%)
o	1488542	26.5%
e	755810	13.4%
r	753423	13.4%
A	377905	6.7%
v	377905	6.7%
a	377905	6.7%
g	377905	6.7%
P	375518	6.7%
G	368753	6.6%
d	368753	6.6%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	5622419	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
o	1488542	26.5%
e	755810	13.4%
r	753423	13.4%
A	377905	6.7%
v	377905	6.7%
a	377905	6.7%
g	377905	6.7%
P	375518	6.7%
G	368753	6.6%
d	368753	6.6%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	5622419	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
o	1488542	26.5%
e	755810	13.4%
r	753423	13.4%
A	377905	6.7%
v	377905	6.7%
a	377905	6.7%
g	377905	6.7%
P	375518	6.7%
G	368753	6.6%
d	368753	6.6%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	5622419	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
o	1488542	26.5%
e	755810	13.4%
r	753423	13.4%
A	377905	6.7%
v	377905	6.7%
a	377905	6.7%
g	377905	6.7%
P	375518	6.7%
G	368753	6.6%
d	368753	6.6%

Smoking Status
Boolean

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	1.1 MiB

True	601873
False	598127

Value	Count	Frequency (%)
True	601873	50.2%
False	598127	49.8%

Exercise Frequency
Categorical

Distinct	4
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	72.1 MiB

Weekly	306179
Monthly	299830
Rarely	299420
Daily	294571

Length

Max length	7
Median length	6
Mean length	6.0043825
Min length	5

Characters and Unicode

Total characters	7205259
Distinct characters	15
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Weekly
2nd row	Monthly
3rd row	Weekly
4th row	Daily
5th row	Weekly

Common Values

Value	Count	Frequency (%)
Weekly	306179	25.5%
Monthly	299830	25.0%
Rarely	299420	25.0%
Daily	294571	24.5%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
weekly	306179	25.5%
monthly	299830	25.0%
rarely	299420	25.0%
daily	294571	24.5%

Most occurring characters

Value	Count	Frequency (%)
l	1200000	16.7%
y	1200000	16.7%
e	911778	12.7%
a	593991	8.2%
k	306179	4.2%
W	306179	4.2%
M	299830	4.2%
o	299830	4.2%
n	299830	4.2%
h	299830	4.2%
Other values (5)	1487812	20.6%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	7205259	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
l	1200000	16.7%
y	1200000	16.7%
e	911778	12.7%
a	593991	8.2%
k	306179	4.2%
W	306179	4.2%
M	299830	4.2%
o	299830	4.2%
n	299830	4.2%
h	299830	4.2%
Other values (5)	1487812	20.6%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	7205259	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
l	1200000	16.7%
y	1200000	16.7%
e	911778	12.7%
a	593991	8.2%
k	306179	4.2%
W	306179	4.2%
M	299830	4.2%
o	299830	4.2%
n	299830	4.2%
h	299830	4.2%
Other values (5)	1487812	20.6%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	7205259	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
l	1200000	16.7%
y	1200000	16.7%
e	911778	12.7%
a	593991	8.2%
k	306179	4.2%
W	306179	4.2%
M	299830	4.2%
o	299830	4.2%
n	299830	4.2%
h	299830	4.2%
Other values (5)	1487812	20.6%

Property Type
Categorical

Distinct	3
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	72.5 MiB

House	400349
Apartment	399978
Condo	399673

Length

Max length	9
Median length	5
Mean length	6.33326
Min length	5

Characters and Unicode

Total characters	7599912
Distinct characters	14
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	House
2nd row	House
3rd row	House
4th row	Apartment
5th row	House

Common Values

Value	Count	Frequency (%)
House	400349	33.4%
Apartment	399978	33.3%
Condo	399673	33.3%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
house	400349	33.4%
apartment	399978	33.3%
condo	399673	33.3%

Most occurring characters

Value	Count	Frequency (%)
o	1199695	15.8%
e	800327	10.5%
t	799956	10.5%
n	799651	10.5%
H	400349	5.3%
u	400349	5.3%
s	400349	5.3%
A	399978	5.3%
a	399978	5.3%
p	399978	5.3%
Other values (4)	1599302	21.0%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	7599912	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
o	1199695	15.8%
e	800327	10.5%
t	799956	10.5%
n	799651	10.5%
H	400349	5.3%
u	400349	5.3%
s	400349	5.3%
A	399978	5.3%
a	399978	5.3%
p	399978	5.3%
Other values (4)	1599302	21.0%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	7599912	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
o	1199695	15.8%
e	800327	10.5%
t	799956	10.5%
n	799651	10.5%
H	400349	5.3%
u	400349	5.3%
s	400349	5.3%
A	399978	5.3%
a	399978	5.3%
p	399978	5.3%
Other values (4)	1599302	21.0%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	7599912	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
o	1199695	15.8%
e	800327	10.5%
t	799956	10.5%
n	799651	10.5%
H	400349	5.3%
u	400349	5.3%
s	400349	5.3%
A	399978	5.3%
a	399978	5.3%
p	399978	5.3%
Other values (4)	1599302	21.0%

Premium Amount
Real number (ℝ)

Distinct	4794
Distinct (%)	0.4%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	1102.5448

Minimum	20
Maximum	4999
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	9.2 MiB

Quantile statistics

Minimum	20
5-th percentile	49
Q1	514
median	872
Q3	1509
95-th percentile	2869
Maximum	4999
Range	4979
Interquartile range (IQR)	995

Descriptive statistics

Standard deviation	864.99886
Coefficient of variation (CV)	0.78454757
Kurtosis	1.5185856
Mean	1102.5448
Median Absolute Deviation (MAD)	449
Skewness	1.2409155
Sum	1.3230538 × 10⁹
Variance	748223.03
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
25	4268	0.4%
24	3901	0.3%
20	3849	0.3%
23	3524	0.3%
28	3418	0.3%
26	3375	0.3%
48	3307	0.3%
29	3139	0.3%
100	3125	0.3%
27	3074	0.3%
Other values (4784)	1165020	97.1%

Value	Count	Frequency (%)
20	3849	0.3%
21	362	< 0.1%
22	1698	0.1%
23	3524	0.3%
24	3901	0.3%
25	4268	0.4%
26	3375	0.3%
27	3074	0.3%
28	3418	0.3%
29	3139	0.3%

Value	Count	Frequency (%)
4999	1	< 0.1%
4997	2	< 0.1%
4996	1	< 0.1%
4994	1	< 0.1%
4992	1	< 0.1%
4991	1	< 0.1%
4988	18	< 0.1%
4987	5	< 0.1%
4986	3	< 0.1%
4985	2	< 0.1%

Interactions

Correlations

	Age	Annual Income	Credit Score	Customer Feedback	Education Level	Exercise Frequency	Gender	Health Score	Insurance Duration	Location	Marital Status	Number of Dependents	Occupation	Policy Type	Premium Amount	Previous Claims	Property Type	Smoking Status	Vehicle Age	id
Age	1.000	0.000	0.003	0.001	0.001	0.001	0.000	0.001	-0.000	0.001	0.002	0.001	0.000	0.000	-0.002	0.002	0.002	0.001	-0.002	-0.000
Annual Income	0.000	1.000	-0.150	0.000	0.002	0.003	0.000	0.013	0.000	0.000	0.001	0.002	0.002	0.002	-0.061	0.001	0.001	0.001	-0.000	-0.000
Credit Score	0.003	-0.150	1.000	0.000	0.002	0.000	0.001	0.010	0.001	0.003	0.003	0.004	0.002	0.001	-0.044	0.038	0.001	0.002	0.001	0.001
Customer Feedback	0.001	0.000	0.000	1.000	0.000	0.003	0.001	0.004	0.000	0.002	0.002	0.001	0.002	0.000	0.001	0.004	0.002	0.000	0.000	0.000
Education Level	0.001	0.002	0.002	0.000	1.000	0.002	0.000	0.004	0.002	0.002	0.001	0.001	0.001	0.002	0.002	0.002	0.004	0.001	0.000	0.001
Exercise Frequency	0.001	0.003	0.000	0.003	0.002	1.000	0.000	0.004	0.001	0.000	0.000	0.002	0.001	0.003	0.001	0.000	0.001	0.001	0.001	0.000
Gender	0.000	0.000	0.001	0.001	0.000	0.000	1.000	0.006	0.000	0.001	0.002	0.002	0.001	0.001	0.002	0.000	0.001	0.003	0.001	0.000
Health Score	0.001	0.013	0.010	0.004	0.004	0.004	0.006	1.000	0.003	0.004	0.004	0.005	0.005	0.003	0.016	0.002	0.000	0.003	-0.000	0.001
Insurance Duration	-0.000	0.000	0.001	0.000	0.002	0.001	0.000	0.003	1.000	0.002	0.002	0.002	0.002	0.000	-0.000	0.003	0.002	0.000	0.003	-0.000
Location	0.001	0.000	0.003	0.002	0.002	0.000	0.001	0.004	0.002	1.000	0.001	0.002	0.000	0.001	0.002	0.000	0.000	0.001	0.001	0.003
Marital Status	0.002	0.001	0.003	0.002	0.001	0.000	0.002	0.004	0.002	0.001	1.000	0.000	0.004	0.000	0.000	0.001	0.002	0.000	0.001	0.001
Number of Dependents	0.001	0.002	0.004	0.001	0.001	0.002	0.002	0.005	0.002	0.002	0.000	1.000	0.000	0.000	0.004	0.005	0.003	0.000	0.003	0.001
Occupation	0.000	0.002	0.002	0.002	0.001	0.001	0.001	0.005	0.002	0.000	0.004	0.000	1.000	0.000	0.004	0.003	0.004	0.001	0.000	0.000
Policy Type	0.000	0.002	0.001	0.000	0.002	0.003	0.001	0.003	0.000	0.001	0.000	0.000	0.000	1.000	0.000	0.002	0.001	0.002	0.000	0.001
Premium Amount	-0.002	-0.061	-0.044	0.001	0.002	0.001	0.002	0.016	-0.000	0.002	0.000	0.004	0.004	0.000	1.000	0.045	0.002	0.003	0.001	0.001
Previous Claims	0.002	0.001	0.038	0.004	0.002	0.000	0.000	0.002	0.003	0.000	0.001	0.005	0.003	0.002	0.045	1.000	0.003	0.002	-0.001	-0.000
Property Type	0.002	0.001	0.001	0.002	0.004	0.001	0.001	0.000	0.002	0.000	0.002	0.003	0.004	0.001	0.002	0.003	1.000	0.001	0.003	0.000
Smoking Status	0.001	0.001	0.002	0.000	0.001	0.001	0.003	0.003	0.000	0.001	0.000	0.000	0.001	0.002	0.003	0.002	0.001	1.000	0.003	0.000
Vehicle Age	-0.002	-0.000	0.001	0.000	0.000	0.001	0.001	-0.000	0.003	0.001	0.001	0.003	0.000	0.000	0.001	-0.001	0.003	0.003	1.000	-0.001
id	-0.000	-0.000	0.001	0.000	0.001	0.000	0.000	0.001	-0.000	0.003	0.001	0.001	0.000	0.001	0.001	-0.000	0.000	0.000	-0.001	1.000

Missing values

A simple visualization of nullity by column.

Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

Sample

	id	Age	Gender	Annual Income	Marital Status	Number of Dependents	Education Level	Occupation	Health Score	Location	Policy Type	Previous Claims	Vehicle Age	Credit Score	Insurance Duration	Policy Start Date	Customer Feedback	Smoking Status	Exercise Frequency	Property Type	Premium Amount
0	0	19.0	Female	10049.0	Married	1.0	Bachelor's	Self-Employed	22.598761	Urban	Premium	2.0	17.0	372.0	5.0	2023-12-23 15:21:39.134960	Poor	No	Weekly	House	2869.0
1	1	39.0	Female	31678.0	Divorced	3.0	Master's	NaN	15.569731	Rural	Comprehensive	1.0	12.0	694.0	2.0	2023-06-12 15:21:39.111551	Average	Yes	Monthly	House	1483.0
2	2	23.0	Male	25602.0	Divorced	3.0	High School	Self-Employed	47.177549	Suburban	Premium	1.0	14.0	NaN	3.0	2023-09-30 15:21:39.221386	Good	Yes	Weekly	House	567.0
3	3	21.0	Male	141855.0	Married	2.0	Bachelor's	NaN	10.938144	Rural	Basic	1.0	0.0	367.0	1.0	2024-06-12 15:21:39.226954	Poor	Yes	Daily	Apartment	765.0
4	4	21.0	Male	39651.0	Single	1.0	Bachelor's	Self-Employed	20.376094	Rural	Premium	0.0	8.0	598.0	4.0	2021-12-01 15:21:39.252145	Poor	Yes	Weekly	House	2022.0
5	5	29.0	Male	45963.0	Married	1.0	Bachelor's	NaN	33.053198	Urban	Premium	2.0	4.0	614.0	5.0	2022-05-20 15:21:39.207847	Average	No	Weekly	House	3202.0
6	6	41.0	Male	40336.0	Married	0.0	PhD	NaN	NaN	Rural	Basic	2.0	8.0	807.0	6.0	2020-02-21 15:21:39.219432	Poor	No	Weekly	House	439.0
7	7	48.0	Female	127237.0	Divorced	2.0	High School	Employed	5.769783	Suburban	Comprehensive	1.0	11.0	398.0	5.0	2022-08-08 15:21:39.181605	Average	No	Rarely	Condo	111.0
8	8	21.0	Male	1733.0	Divorced	3.0	Bachelor's	NaN	17.869551	Urban	Premium	1.0	10.0	685.0	8.0	2020-12-14 15:21:39.198406	Average	No	Monthly	Condo	213.0
9	9	44.0	Male	52447.0	Married	2.0	Master's	Employed	20.473718	Urban	Comprehensive	1.0	9.0	635.0	3.0	2020-08-02 15:21:39.144722	Poor	No	Daily	Condo	64.0

	id	Age	Gender	Annual Income	Marital Status	Number of Dependents	Education Level	Occupation	Health Score	Location	Policy Type	Previous Claims	Vehicle Age	Credit Score	Insurance Duration	Policy Start Date	Customer Feedback	Smoking Status	Exercise Frequency	Property Type	Premium Amount
1199990	1199990	55.0	Female	72384.0	Single	0.0	High School	Unemployed	13.661678	Urban	Basic	1.0	3.0	789.0	5.0	2020-01-10 15:21:39.155231	Average	Yes	Monthly	Apartment	231.0
1199991	1199991	59.0	Female	23706.0	Divorced	4.0	High School	Self-Employed	24.913204	Suburban	Comprehensive	NaN	17.0	NaN	1.0	2021-06-22 15:21:39.188220	Good	Yes	Monthly	Apartment	3381.0
1199992	1199992	53.0	Female	6837.0	Married	2.0	High School	Self-Employed	17.844235	Urban	Comprehensive	NaN	15.0	406.0	4.0	2021-01-09 15:21:39.281787	Good	No	Rarely	House	1251.0
1199993	1199993	38.0	Male	1607.0	Married	1.0	High School	NaN	18.552314	Suburban	Comprehensive	0.0	12.0	469.0	2.0	2022-08-10 15:21:39.132191	Good	No	Rarely	House	1027.0
1199994	1199994	34.0	Male	23456.0	Single	4.0	Master's	Self-Employed	14.783439	Rural	Basic	NaN	12.0	548.0	9.0	2023-06-09 15:21:39.134960	Good	No	Monthly	Apartment	1584.0
1199995	1199995	36.0	Female	27316.0	Married	0.0	Master's	Unemployed	13.772907	Urban	Premium	NaN	5.0	372.0	3.0	2023-05-03 15:21:39.257696	Poor	No	Daily	Apartment	1303.0
1199996	1199996	54.0	Male	35786.0	Divorced	NaN	Master's	Self-Employed	11.483482	Rural	Comprehensive	NaN	10.0	597.0	4.0	2022-09-10 15:21:39.134960	Poor	No	Weekly	Apartment	821.0
1199997	1199997	19.0	Male	51884.0	Divorced	0.0	Master's	NaN	14.724469	Suburban	Basic	0.0	19.0	NaN	6.0	2021-05-25 15:21:39.106582	Good	No	Monthly	Condo	371.0
1199998	1199998	55.0	Male	NaN	Single	1.0	PhD	NaN	18.547381	Suburban	Premium	1.0	7.0	407.0	4.0	2021-09-19 15:21:39.190215	Poor	No	Daily	Apartment	596.0
1199999	1199999	21.0	Female	NaN	Divorced	0.0	PhD	NaN	10.125323	Rural	Premium	0.0	18.0	502.0	6.0	2020-08-26 15:21:39.155231	Good	Yes	Monthly	House	2480.0

Overview

Variables

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)